import { Algorithm } from "../types"

export const dataFlowRisk: Algorithm = {
  name: "数据流动风险防范优化算法",
  description: "包含针对不同场景的数据流动的案例库，不少于3种优化算法",
  configOptions: [
    {
      id: "scenario",
      label: "应用场景",
      type: "select",
      options: ["金融数据交换", "医疗数据共享", "政务数据流转", "企业数据协作", "个人数据保护"],
      defaultValue: "金融数据交换",
    },
    {
      id: "algorithm",
      label: "优化算法",
      type: "select",
      options: ["多目标优化算法", "基于博弈论的优化", "启发式风险优化"],
      defaultValue: "多目标优化算法",
    },
    {
      id: "riskThreshold",
      label: "风险阈值",
      type: "number",
      defaultValue: 0.3,
    },
    {
      id: "dataVolume",
      label: "数据量(GB)",
      type: "number",
      defaultValue: 10,
    },
    {
      id: "securityLevel",
      label: "安全等级",
      type: "select",
      options: ["低", "中", "高", "极高"],
      defaultValue: "高",
    },
  ],
  execute: async (config) => {
    await new Promise((resolve) => setTimeout(resolve, 3500))

    const steps = [
      `初始化${config.scenario}场景下的风险防范优化...`,
      `使用${config.algorithm}`,
      `设置风险阈值: ${config.riskThreshold}`,
      `数据量: ${config.dataVolume}GB`,
      `安全等级: ${config.securityLevel}`,
      `加载相关案例库...`,
      `分析数据流动路径...`,
      `识别潜在风险点...`,
      `应用优化算法...`,
      `生成优化方案...`,
      `评估优化效果...`,
    ]

    const initialRisk = parseFloat((Math.random() * 0.5 + 0.4).toFixed(4))
    const optimizedRisk = initialRisk * (0.3 + Math.random() * 0.3)
    const performanceImpact = parseFloat((Math.random() * 0.2).toFixed(4))
    const costSaving = parseFloat((Math.random() * 30 + 10).toFixed(2))

    const riskPoints: string[] = []
    const possibleRisks = [
      "未授权访问",
      "数据泄露",
      "传输中断",
      "数据损坏",
      "中间人攻击",
      "权限提升",
      "拒绝服务",
      "数据篡改",
      "身份冒充",
      "配置错误",
      "加密不足",
      "审计缺失",
    ]

    const riskCount = Math.floor(Math.random() * 4) + 3
    for (let i = 0; i < riskCount; i++) {
      const riskIndex = Math.floor(Math.random() * possibleRisks.length)
      if (!riskPoints.includes(possibleRisks[riskIndex])) {
        riskPoints.push(possibleRisks[riskIndex])
      }
    }

    const optimizations: string[] = []
    const possibleOptimizations = [
      "增强数据加密",
      "改进访问控制",
      "实施数据分段",
      "添加审计日志",
      "部署入侵检测",
      "优化传输路径",
      "实施零信任架构",
      "添加数据水印",
      "部署蜜罐系统",
      "实时监控异常",
      "多因素认证",
      "数据脱敏",
    ]

    const optCount = Math.floor(Math.random() * 3) + 3
    for (let i = 0; i < optCount; i++) {
      const optIndex = Math.floor(Math.random() * possibleOptimizations.length)
      if (!optimizations.includes(possibleOptimizations[optIndex])) {
        optimizations.push(possibleOptimizations[optIndex])
      }
    }

    return {
      result: `风险防范优化完成！

初始风险评分: ${initialRisk}
优化后风险评分: ${optimizedRisk.toFixed(4)}
风险降低率: ${((1 - optimizedRisk / initialRisk) * 100).toFixed(2)}%
性能影响: ${performanceImpact * 100}%
成本节约: ${costSaving}%

主要风险点:
${riskPoints.map((risk) => `- ${risk}`).join("\n")}

优化建议:
${optimizations.map((opt) => `- ${opt}`).join("\n")}`,
      steps,
      executionTime: `${(Math.random() * 1500 + 2500).toFixed(2)}ms`,
    }
  },
} 